لینک کوتاه : https://en.magicfile.ir/?p=2067
دانلود نمونه سورس کد OCR در سی شارپ بصورت API
Today, in this post, for you, dear users of the MagicFile website, we have prepared an example of an OCR source code in C # as an API that you can download as an image file or PDF e-book into a TXT text file.
Optical character reader[1], which is known by the keyword OCR∗, is the automatic recognition of texts in document images and converting them into searchable and editable texts by computer. The document image is often produced by a scanner or digital camera. These images contain a number of pixels with different colors, each color is made by combining the three main colors green, blue and red. From the human point of view, a document may have a lot of informational value, but from the computer's point of view, the image of a document is no different from the image of a landscape, because both are a collection of pixels. In order to be able to use the written information of the document image, we must somehow recognize the writings in the document. Such work is done by optical character reader software.
At first, the optical character reader was used only for recognizing numbers and printed letters. The character reader system reads the text of the document like a typist and converts it into a suitable format for saving on the computer. Scanners usually provide the images needed for character recognition. The character reader system recognizes the objects in the document image, which are numbers, letters, signs and words, and stores the string corresponding to them in the appropriate format. An image file has a large volume and it is not possible to search for text in it. This is while the output file of the text reader system is very small and searchable.
Text reader systems, like many other smart systems, have a lot of complexity. Image processing and pattern recognition are two main topics in these systems. The complexity of these systems is different for different languages. For example, it is easier to write optical reading for Latin languages because their letters are written separately than for languages such as Persian and Arabic, where the letters of a word stick together. This issue, in addition to the small population of Persian language users, has caused Persian language character reading systems to have many weaknesses. Of course, in recent years, commendable efforts have been made by some active companies in the field of image processing, some of which have led to acceptable products.
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